There’s no guarantee that current levels of volatility will subside anytime soon, and a majority of organisations are suffering from low planning agility that significantly hinders their ability to take advantage of opportunities or mitigate downside risks. This article reveals the importance of the human-machine learning loop for improving budgeting and forecasting processes.

In this article, we discuss how using Strategy Maps with AI-enabled analytics becomes an excellent technique for visually elucidating strategic objectives with the corresponding KPIs, forming financial and operational metrics, and highlighting their interdependences with the help of an Analytics Scorecard^™.

At the 18^th AI/ML FP&A Committee meeting, Scott Campbell, Head of Digital COE - Finance/FP&A at Philips, presented "Digital Finance at Philips".

Michael Nudelmann, Director of Controlling and Head of Corporate FP&A at SWAROVSKI, presented the Predictive Sales Planning Journey at his company.

In AI/ML FP&A Committee Meeting #15, we hosted a meeting featuring a presentation by Hashim Ahmed, the Chief Financial Officer of Jaguar Mining Inc. titled "Jaguar Mining Inc. Case Study: Smart Planning with AI/ML,". Hashim Ahmed showcased the company's innovative approach to planning using Artificial Intelligence/Machine Learning and how they leverage cutting-edge technologies to optimise their financial strategies.

On November 9, 2021, we held the 14^th meeting of the AI/ML Committee. It was focused on exploring the potential of Machine Learning. The event commenced with an introduction, followed by an enlightening presentation titled "Then and Now: Examples of Machine Learning Potential (A Personal View)" by Tom Byrne, the Managing Director of T&B Software Solutions. Tom shared his insights and experiences regarding the capabilities of Machine Learning.